Data & AI Engineer (Trainee)

About us:

Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of salesforce.com and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.  

Accellor has been honored with the prestigious “Company of the Year” award for "excellence in IT Services" at the Indo Global Business Excellence Awards. Majority of our team members based at 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 encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation – we know our people 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 but never losing sight of the bigger picture.  

Role Summary:

The Trainee Data & AI Engineer will work closely with our data science and engineering teams to develop and deploy AI models that can simulate human intelligence processes. This role is ideal for individuals who are passionate about AI and machine learning and are eager to gain hands-on experience.

Key Responsibilities:

• Assist in designing and developing AI models and algorithms from scratch.
• Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction.
• Manage the data flow and infrastructure for effective AI deployment.
• Collaborate across teams to align AI initiatives with organizational goals.
• Stay current with AI trends and suggest improvements to existing systems and workflows

• Degree in Computer Science, Engineering, or a related field (2023, 2024 & 2025 pass outs only)
• Basic understanding of machine learning, deep learning, NLP, and computer vision.
• Familiarity with programming languages such as Python, Java, and R.
• Knowledge of AI frameworks such as TensorFlow or PyTorch is advantageous.
• Knowledge on databases and SQL.
• Strong problem-solving skills and ability to work in a team environment.
  

Candidates will have to undergo a 4-step interview process that includes:

1) Online technical test,

2) Group discussion,

3) Technical discussion and

4) Managerial interview.

Selected candidates from Online test will be invited to our Hyderabad office for further process with short notice.

Note: All the communications regarding the process will be communicated through E-mails. Request you to check your mails regularly and be updated. Virtual / Remote interviews and reschedules will not be entertained.

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses