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Brief Summary of the Role:

Candidate should have 6-10 years of total IT experience and at least 6 years’ experience in ML problem formulation, building, testing, deploying and operationalizing models in different Cloud Environments.

Objective of this role:

• Front End with clients to understand Business Process / Requirements/KPIs and Communicate it with internal team.
• Direct a team of data scientists, data engineers and ML Engineers to achieving desired results.
• Receptive to taking up new initiatives learning and delivering output Combine the best of Software Engineering and Model Development Practice.

Responsibilities:

• Work directly with clients and cross functional teams such as SME, Data Scientists, Engineering to define, develop and implement right ML Solution.
• Defining POCs, Building Rapid prototypes, communicating the results with stakeholders and taking POCs to production and enabling teams to monitor ML models.
• Should be able to learn new Technology & Domain and Identify new Data sources that can solve a particular problem.
• Should be able to experiment with new Technologies in ML / DL space and help define architecture
• Understand & Perform Infra sizing for Training and Serving Production Environments.

Required/Must have skills:

• Masters / Bachelors in Computer Science, Mathematics, Statistics, AI , Data Science or related field
• Must have Experience of working in End-End model development ML/DL with different Algorithms using Sci kit, TensorFlow, PyTorch, Python , R in AWS / GCP / Azure
• Must have experience of Ml Ops and additionally experience of optimizing, deploying ML/DL models in different environments
• Must have experience of leading a team of Data scientists / ML Engineers
• Must have worked in at least two Domains such as FSI, Healthcare and Life Sciences , Retail , Travel , Supply Chain

Preferred/Good to have skills/Qualifications:

• PhD in Statistics, Mathematics
• Candidates with working knowledge in Pharmacovigilance/FSI would be preferred

Responsibilities 

• Work with members of the Navikenz/client teams building highly scalable distributed solutions that enable positive user experiences and measurable business growth 
• Collaborate with/contribute to a cross-functional team including product and design as part of solution realization 
• Collaborate with/Contribute to the team’s planning/design/implementation activities as part of solution realization 
• Develop new features and infrastructure development in support of rapidly emerging business and project requirements 
• Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design 
• Design and implement scalable web services, applications, and APIs 
• Develop and maintain internal software tools, accelerators, platforms 
• Support, troubleshoot and debug software in production 
• Identify bottlenecks, and improve continuously software performance, reliability, and overall quality 
• Work with agile development methodologies, adhering to best practices and pursuing continued learning and improvement opportunities 
• Participate in all aspects of agile software development including design, implementation, and deployment 
• Create, maintain & improve design/technical documentation, manuals, how-to guides, etc. 

Qualifications/Experience 

The ideal candidate will have a bachelor’s or master’s degree in Computer Science or Software Engineering with at least 7+ years of professional experience developing software across technology stacks – front-end to services to data: 

• Backend feature, microservices and API development experience using Java or NodeJS 
• Database knowledge to store and query data from either SQL or NoSQL databases 
• Front end development experience with React or Angular along with HTML, CSS, and JavaScript 
• Experience with cloud platform – Azure, AWS or GCP 
• Experience designing SPAs that interact with REST API endpoints, converting mocks into high quality HTML/CSS 
• Experience with design patterns, security, performance, and usability for both front end and backend 
• Experience with CI/CD and automated unit testing  
• Experience building large scale, high-available applications 
• Excellent work ethic and strong sense of ownership of end results 
• Creative problem solver and innovative thinker 
• Ability to manage and lead a team of up to 10 members including Full Stack Developers, Test Engineers and deliver work to a well-defined plan 
• Ability to work under indirect supervision 
• Comfortable with ambiguity and time spent outside of comfort zone acquiring new skills 
• Flexible in a fast-paced dynamic environment with shifting technologies, roles, and responsibilities 

Responsibilities

• Collaborate with cross-functional teams, including product managers, and other engineers, to define project requirements and deliver high-quality software solutions. 
• Knowledge of front-end components and user interfaces using modern JavaScript frameworks, with a focus on TypeScript, React, or Angular is a plus. 
• Collaborate with the DevOps team to deploy and maintain applications in cloud or on-premises environments using Kubernetes. 
• Implement and maintain Python packages to be used by internal organization developers based on given requirements. 
• Stay up-to-date with emerging technologies and industry trends in full-stack development, and evaluate their potential impact on our systems. 
• Continuously improve development processes, tools, and technologies, and promote best practices within the engineering team. 

Qualifications and Skills

• 3+ years of experience as a Full Stack Engineer, with a focus on both front-end and back-end development. 
• Strong proficiency in Python and experience with web frameworks such as Django or Flask. 
• Knowledge of TypeScript and experience with modern JavaScript frameworks such as React or Angular is a bonus. 
• Interest in DevOps tech stacks like Kubernetes, Docker, and container orchestration 
• Experience with RESTful API design and implementation, as well as working with databases (e.g., SQL, NoSQL). 
• Familiarity with version control systems, such as Git, and knowledge of continuous integration and deployment practices. 
• Strong problem-solving skills and ability to effectively debug and troubleshoot issues.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. 
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment. 

Must Have  

• Deeper understanding of modern technologies including Cloud-native, APIs, LLM, AI, and ML…preference is with Google Tech 
• Understand client requirements and translate them into ML problems.  
• Must have experience working in at least two of the Transformer models like BERT, GPT-2 , Roberta, or other LLMs like Llama, Falcon, GPT-3 
• Must have experience in evaluating and benchmarking LLMs for various business needs.  
• Must have experience in large-scale data (text /image) processing ( data cleaning, data preparation, training, and deploying ) using GCP technologies.  
• Must have experience of working in Tensorflow / PyTorch, Scikit, Pandas, and Numpy.  
• Experience of working with interdisciplinary teams of Data Scientists, Machine Learning Engineers, and Business Analyst.  
• Technically leads proof of concepts to ensure the feasibility of architectural solutions 
• Deep understanding and working experience in advanced analytics, AI algorithms, and Machine Learning techniques 
• Experience in C/C++, CUDA, and Python programming (software design skills, including debugging, and performance analysis)  
• Working knowledge of AWS, Azure, or GCP cloud ecosystems 
• Knowledge of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models 
• Solid knowledge of solutioning with Non-Functional-Requirements 

 Good to have  

•  Experience in areas of data, AI, and automation strategy and solutioning for enterprises 
• Experience in Data Platform and Enterprise Data Warehouse technologies 
• Exposure to the concept of Data Parallelism and Model parallelism 
• Good knowledge of Kubernetes, GKE, Containers 
• Good exposure to Vertex AI / Sagemaker.  

Responsibilities

• Analyzing business and system requirements and define optimal data pipeline design for fulfilling them.
• Building scalable, performant, supportable and reliable data pipelines
• Ability to work on and optimize data systems as well as building them from the ground up
• Building scalable, performant, supportable and reliable data pipelines
• Ability to optimize data systems as well as building them from the ground up
• Defining and implementing DevOps framework using CI/CD
• Setting up new, and monitoring of existing metrics, analyzing data, and in cooperation with other Data & Analytics team members identifying and implementing system and process improvements
• Supporting collection of the metadata into our data catalogue system where all available data is maintained and cataloged
• Working closely with data architects, data analysts and other data warehouse engineers and data scientists
• To collaborate across different teams/geographies/stakeholders/levels of seniority
• Work with team in agile development methodology
• Have Customer focus with an eye on continuous improvement
• Supporting Agile way of working using SCRUM framework
• To collaborate across different teams/geographies/stakeholders/levels of seniority
• Have Customer focus with an eye on continuous improvement

Qualifications/Experience

The ideal candidate will have a Bachelor’s, Master’s Degree in Computer Science with at least 6 years of professional experience working on data sets and building data pipelines, and be familiar with the following software /tools/techniques:

• Programming skills in Python/Pyspark.
• Expert SQL knowledge and experience with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases
• Ability to develop, maintain and distribute the code in modularized fashion
• Experiences with Data Lake/Big Data Projects implementation, building data pipeline in Cloud and/or On-premises platforms:
• Cloud technology stack: AWS, Azure or GCP, Databricks (proven experience is a big plus!) Data pipeline, Data Transformation, Data Storage, Data Quality Management, DevOps
• Experience data pipeline keeping DevOps framework in mind
• Basic knowledge on Data Warehousing concepts for large complex data sets – defining, building, and optimizing data models based on use case requirements
• Good understanding of Software Development Lifecycle, source code management, code reviews, etc.
• Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Energetic, enthusiastic, and results-oriented personality
• Motivation and ability to perform as a consultant in data engineering projects
• Ability to work independently but also within a Team
• Strong will to overcome the complexities involved in developing and supporting data pipelines.

Responsibilities

• Proactively identify emerging and adjacent needs in the market to pursue and actively work with the practices to develop relevant solutions to offer to customers and enable growth 
• Conduct thorough research and analysis to identify target industries, companies, and decision-makers 
• Develop a good understanding of the solution and service offerings of the organization and practices and explain them to prospects/customers to craft new opportunities  
• Engage in consultative selling to understand client needs, demonstrate the value of Navikenz solutions, and propose customized solutions. 
• Understand competitor behavior, identify & understand their solution & service offerings, and help in competitively positioning our solutions and services 
• Work closely with Technology partner sales teams and jointly enable new business growth through cohesive collaboration, detailed planning, and execution of sales motions  
• Deliver compelling sales presentations and offerings demonstrations to key stakeholders 
• Progressively develop a deeper understanding of certain industry domains or industry sub-segments and identify emerging needs of those segments to proactively develop capabilities to secure ongoing growth 
• Build and maintain a robust pipeline of qualified leads and opportunities 
• Collaborate with cross-functional teams, including marketing, business consulting, data & AI team, and customer success, to ensure seamless execution of sales strategies 
• Negotiate and close contracts, ensuring favorable terms and conditions for both Navikenz and the client 
• Act as a trusted advisor to clients, providing ongoing support, guidance, and problem-solving 

 Required Skills and Qualifications

• A minimum of graduate in any field 
• 6+ years of proven success in B2B sales, specifically in a hunting role 
• Demonstrated ability to meet or exceed sales targets and quotas consistently 
• Strong prospecting and lead generation skills, with experience in cold calling and networking 
• Excellent communication and presentation skills, with the ability to convey complex ideas clearly and persuasively 
• Solid understanding of consultative sales techniques and the ability to tailor solutions to meet client needs 
• Exceptional negotiation and closing skills, with the ability to navigate complex sales cycles 
• Self-motivated, results-oriented, and driven to succeed in a competitive sales environment 
• Strong business acumen and understanding of industry trends and market dynamics 
• Proficiency in using CRM software and other sales tools to manage leads, track sales activities, and report on performance 

 Why Choose Navikenz

• Innovative Solutions: Navikenz is at the forefront of technology by providing AI solutions to clients. By joining Navikenz, you will have the opportunity to work right at the center of ground-breaking technology and contribute to shaping the future of the industry 
• Growth Potential: As a rapidly growing company, Navikenz offers ample opportunities for professional growth and advancement. We value and invest in our employees’ development, providing ongoing training, mentorship, and career progression. 
• Collaborative Environment: Navikenz fosters a collaborative and inclusive work culture where teamwork, creativity, and diverse perspectives are encouraged. You will have the chance to work with talented professionals and contribute to a supportive and dynamic team. 
• Competitive Compensation: We offer a competitive salary package with attractive commission and bonus structures, ensuring your hard work and success are duly rewarded. 
• Impactful Work: Navikenz’s solutions have a direct impact on our clients’ businesses, helping them achieve operational excellence, improve customer satisfaction, and drive revenue growth. By joining us, you will be part of a team that creates meaningful and lasting change for our customers. 
• If you are an ambitious and driven sales professional looking for an exciting opportunity to make an impact, grow your career, and be part of a dynamic and innovative company, Navikenz is the perfect place for you. 

Responsibilities

• • Act as a subject matter expert in data engineering and GCP data technologies.
  • Work with client teams to design and implement modern, scalable data solutions
    using a range of new and emerging technologies from the Google Cloud Platform.
  • Work with Agile and DevOps techniques and implementation approaches in the
    delivery.
  • Be required to showcase your GCP Data engineering experience when
    communicating with clients on their requirements, turning these into technical data
    solutions.
  • Be required to build and deliver Data solutions using GCP products and offerings.

Requirement/Experience

• • The ideal candidate will have a Bachelor’s, Master’s Degree in Mathematics or Computer
    Science with around 6 to 7 years of professional experience working on data sets and
    building data pipelines. Briefly, he should have
  • Master’s degree in Computer Science, or related field.
  • Hands on and deep experience working with Google Data Products (e.g. BigQuery,
    Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.).
  • Experience in Data Integration, Data Transformation, Data Quality and Data Lineage
    tools.
  • E2E Data Engineering and Lifecycle (including non-functional requirements and
    operations) management.
  • E2E Solution Design skills – Prototyping, Usability testing and data visualization
    literacy.
  • Experience with SQL and NoSQL modern data stores.
  • Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive,
    MapReduce) and multiple scripting and languages (YAML, Python).
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and
    delivering results in a dynamic environment.
  • Excellent verbal and written communication skills with the ability to effectively
    advocate technical solutions to research scientists, engineering teams and business
    audiences.
  • Liaise and be part of our extensive GCP community, contributing in the knowledge
    exchange learning programme of the platform.
  • Ability to lead a team of data engineers to build pipeline for atleast 2 projects

Responsibilities

• • Act as a subject matter expert in data engineering and GCP data technologies.
  • Work with client teams to design and implement modern, scalable data solutions
    using a range of new and emerging technologies from the Google Cloud Platform.
  • Work with Agile and DevOps techniques and implementation approaches in the
    delivery.
  • Be required to showcase your GCP Data engineering experience when
    communicating with clients on their requirements, turning these into technical data
    solutions.
  • Be required to build and deliver Data solutions using GCP products and offerings.

Requirement/Experience

• • The ideal candidate will have a Bachelor’s, Master’s Degree in Mathematics or Computer
    Science with around 3 to 4 years of professional experience working on data sets and
    building data pipelines. Briefly, he should have
  • Master’s degree in Computer Science, or related field.
  • Hands on and deep experience working with Google Data Products (e.g. BigQuery,
    Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.).
  • Experience in Data Integration, Data Transformation, Data Quality and Data Lineage
    tools.
  • E2E Data Engineering and Lifecycle (including non-functional requirements and
    operations) management.
  • E2E Solution Design skills – Prototyping, Usability testing and data visualization
    literacy.
  • Experience with SQL and NoSQL modern data stores.
  • Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive,
    MapReduce) and multiple scripting and languages (YAML, Python).
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and
    delivering results in a dynamic environment.
  • Excellent verbal and written communication skills with the ability to effectively
    advocate technical solutions to research scientists, engineering teams and business
    audiences.
  • Liaise and be part of our extensive GCP community, contributing in the knowledge
    exchange learning programme of the platform.
  • 5+ years of relevant experience in Data Engineering using GCP

Brief Summary of the Role: 

Candidate should have 8-12 years of total IT experience and at least 6 years’ experience in ML problem formulation, building, testing, deploying and operationalizing models in different Cloud Environments. 

Objective of this role: 

• Front End with clients to understand Business Process / Requirements/KPIs and Communicate it with internal team. 

• Direct a team of data scientists, data engineers and ML Engineers to achieving desired results.  

• Receptive to taking up new initiatives learning and delivering output Combine the best of Software Engineering and Model Development Practice. 

Responsibilities: 

• Work directly with clients and cross functional teams such as SME, Data Scientists, Engineering   to define, develop and implement right ML Solution. 

• Defining POCs, Building Rapid prototypes, communicating the results with stakeholders and taking POCs to production and enabling teams to monitor ML models. 

• Should be able to learn new Technology & Domain and Identify new Data sources that can solve a particular problem. 

• Should be able to experiment with new Technologies in ML / DL space and help define architecture  

• Understand & Perform Infra sizing for Training and Serving Production Environments. 

 Required/Must have skills: 

• Masters / bachelor’s in computer science, Mathematics, Statistics, AI, Data Science or related field 

• Must have Experience of working in End-End model development ML/DL with different Algorithms using Scikit, TensorFlow, PyTorch, Python, R in AWS / GCP / Azure, Generative AI. 

• Must have experience of MLOps and additionally experience of optimizing, deploying ML/DL models in different environments  

• Must have experience of leading a team of Data scientists / ML Engineers 

• Must have worked in at least two Domains such as FSI, Healthcare and Life Sciences , Retail , Travel , Supply Chain 

 Preferred/Good to have skills/Qualifications: 

• PhD in Statistics, Mathematics 

• Candidates with working knowledge in Pharmacovigilance/FSI would be preferred