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AI Solutions Lead

AI Solutions Lead

ConfidentialHyderabad / Secunderabad, Telangana, India
5 days ago
Job description

About Cognida.ai

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is 'No enterprise left behind'.

AI / ML Solutions Lead with 10+ yrs experience

Skills : AI Solutions, Machine Learning, Deep learning, Gen AI, AI Agents, LLM, Computer Vision,

We are looking for an experienced AI / ML Architect / Solutions Lead to drive the design and implementation of cutting-edge AI and Machine Learning solutions for our organization. The ideal candidate will have strong technical expertise in AI / ML, coupled with leadership experience in building scalable, high-performance models and solutions. You will work closely with cross-functional teams to deliver innovative products that leverage AI / ML technologies to meet business objectives.

Responsibilities :

  • Lead the design, architecture, and implementation of end-to-end AI / ML solutions.
  • Collaborate with business leaders, product teams, and data scientists to identify and understand key business problems and propose AI / ML-driven solutions.
  • Define and drive the AI / ML roadmap, ensuring alignment with organizational goals and objectives.
  • Architect scalable and efficient machine learning systems, ensuring performance, reliability, and maintainability.
  • Stay updated on the latest trends, tools, and advancements in AI / ML technologies, and apply them to solve complex business challenges.
  • Provide leadership and guidance to data scientists and engineers, mentoring and ensuring best practices in model development and deployment.
  • Ensure the deployment of AI / ML models into production, including monitoring, optimization, and iteration based on real-world performance.
  • Advocate for the integration of AI / ML into various product offerings and business processes.
  • Work with stakeholders to evaluate the business impact and ROI of AI / ML solutions.

Requirements :

  • 10+ years of experience in AI / ML with a proven track record of designing and deploying AI-driven solutions.
  • Expertise in machine learning algorithms, deep learning, natural language processing (NLP), and data science tools (e.g., TensorFlow, PyTorch, scikit-learn). AI Solutions, Machine Learning, Deep learning, Gen AI, AI Agents, LLM, Computer Vision,
  • Experience with cloud platforms (AWS, GCP, Azure) for deploying AI / ML models.
  • Strong understanding of data engineering concepts, data pipelines, and distributed computing.
  • Excellent problem-solving skills and the ability to work on complex business problems.
  • Proven ability to lead teams, with excellent communication, collaboration, and leadership skills.
  • Experience in working with cross-functional teams, including product managers, engineers, and business stakeholders.
  • Solid understanding of AI / ML model performance evaluation, explainability, and ethical considerations.
  • Preferred Qualifications :

  • Degree in Computer Science, Data Science, AI, or related fields.
  • Experience in AI-driven product development and scaling solutions.
  • Familiarity with DevOps practices and MLOps for continuous deployment of AI / ML models.
  • Experience in industries like healthcare, finance, e-commerce, or autonomous systems is a plus.
  • Skills Required

    Machine Learning, Deep Learning, Llm, Tensorflow, Gcp, Pytorch, Azure, Computer Vision, Aws

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