AI/ML Engineer

1 month ago

Hyderabad, Telangana, India Accellor Full time
About Accellor

Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that utilizes best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. Our team brings a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, providing end-to-end implementation of salesforce.com and powerful third-party apps. We also develop products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.

Our Team

Our team members are based in Hyderabad, delivering best-of-breed cloud solutions to customers in the US, UK, and APAC region. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We foster an environment of collaboration, autonomy, and delegation, where our employees have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated, focused on building the perfect solution while keeping the bigger picture in mind.

Job Description

We are seeking a highly motivated and skilled Senior AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to identify opportunities for AI/ML integration and work on developing scalable and efficient algorithms.

Responsibilities:
  • Design, develop, and implement AI/ML models and algorithms to solve specific business problems.
  • Collaborate with stakeholders to understand business requirements that can be addressed using AI and machine learning techniques and to integrate AI/ML solutions into production systems and applications.
  • Pre-process, clean, and analyze large datasets to extract meaningful insights and features for model training.
  • Optimize and fine-tune models for accuracy, performance, and scalability.
  • Stay updated with the latest research and advancements in AI/ML and incorporate relevant techniques into the development process.
  • Evaluate and test models using appropriate evaluation metrics to ensure their effectiveness and robustness.
  • Monitor and maintain deployed models, making necessary updates and improvements as needed.
  • Participate in code reviews, knowledge sharing, and mentoring of junior team members.
  • Document methodologies, experiments, and results clearly and effectively.
  • Continuously iterate and improve AI/ML solutions based on feedback and real-world performance.
Requirements:
  • 3-5 years of relevant experience in data pre-processing, feature engineering, and model evaluation.
  • Bachelor's/Master's degree in Computer Science Engineering.
  • Solid understanding of machine learning algorithms, statistics, and data structures.
  • Proficiency in programming languages such as Python, Java/R, and familiarity with libraries like TensorFlow, PyTorch, Scikit-learn, etc.
  • Strong problem-solving skills and ability to think critically about complex challenges.
  • Familiarity with cloud platforms and tools (e.g., Azure/AWS/GCP) for model deployment and management. Experience in deploying machine learning models in production environments is a plus.
  • Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
  • Strong teamwork and collaboration skills.
  • Continuous learning attitude to keep up with the rapidly evolving AI/ML landscape.
  • Experience with version control systems like Git and Copilot is a plus.
Benefits

Accellor offers a range of benefits to its employees, including:

  • Exciting projects in industries like High-Tech, communication, media, healthcare, retail, and telecom.
  • A collaborative and innovative environment where creativity and diverse perspectives are valued.
  • Flexible work schedules and opportunities to work from home.
  • Competitive salaries, family medical insurance, personal accident insurance, and extended maternity leave.
  • Annual performance bonuses and referral bonuses.

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