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Senior Technical Manager

1 month ago

Kochi, India Litmus7 Full time

A leader with the ability to package business solutions with clear ROI, articulate and educate benefits to customers around solutions and execute it effectively.


  • Manage P&L of the Data , AI and Automation practice.
  • Lead the Data , AI and Automation team and accountable for the functioning of the entire team comprising of Architects, Technical Leads and Engineers.
  • One who thrives to create an excellent engineering team and keeping high-level of credibility.
  • Define and execute organization vision to be a leader in the Data, AI and Automation space.
  • Define the practice team KPIs and objectives that align with organizational objectives
  • Efficient and effective allocation of practice personnel within the various engagements
  • Effective management of a high performing Data, AI and Automation team. Deliver solutions that align with the long-term AI ML strategy
  • Design, architect and implement next-generation Data & AI ML solutions and architectures. Adherence with best practices and principles for the solutions delivered.
  • Own and lead initiatives to define, design and implement Data & AI ML solutions which include reference architectures, estimates and costing
  • Provide technical leadership, project guidance and business development in various Data & AI ML area
  • Act as a subject matter expert on Data Science & AI ML best practices , MLOps, LLMOps etc
  • Perform analysis and recommend best practices and emerging concepts in Data AI and Automation areas.
  • Lead and grow a superior Data , AI Automation organization with technical talent resulting in high performing team of consultants with superior technical depth, and outstanding project execution skills.
  • Work with peer engineering teams to collect technical requirements from partners and customers as input to Data, AI and Automation technology roadmaps
  • Enable go to market strategies of sales team with Data & AI and Automation solutions and thought leadership relevant to market demand.
  • Responsible for career planning, development, review and appraisals of the practice
  • Represent company in industry events, forums and negotiations related to Data & AI Automation technologies.
  • Nurture alliances and partnerships applicable to ensure success for the Data , AI and automation practice.
  • Guiding and creating practice branding artifacts and plans (case studies, white papers, webinars etc.) that showcase thought leadership


Mandatory Qualifications


  • Overall 15+ years’ experience working on highly distributed and scalable enterprise applications
  • 10+ years’ experience and in depth understanding of Data warehouses, Big data, AI ML, Automation technologies and platforms
  • Knowledge in Generative AI is desirable
  • Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams. Successfully launched two to three ML projects.
  • Experience building and delivering complex systems, preferably in eCommerce areas that leverage various machine learning algorithms or technologies.
  • Hands on experience developing and implementing machine learning algorithms (classification, clustering, regression, random forest etc.), using relevant programming languages, and big data tools.
  • Experience in evaluating and making decisions around the use of various algorithms and tools for a project.
  • Extensive experience with advanced ML techniques (neural networks, deep learning, reinforcement learning, Gen AI)
  • Experience with open-source technologies, ML libraries, and programming languages.
  • Good understanding of various cloud platforms and services it provides in implementing Big Data and AI ML solutions.
  • Good appreciation of CI/CD process, tools and able to guide the team in decision making related to CI/CD strategies
  • Experienced with Agile development management tool (JIRA, Git/Bitbucket, Bamboo)
  • Experience with API and Microservices architecture-based systems development and operations
  • Excellent Communication, Leadership, and Interpersonal skills
  • Strong Solutioning skills
  • Excellent presentation skills
  • Must have Presales experience and Enterprise systems integration experience
  • Ability to visualize and create solutions and accelerators